diff --git a/lucene/core/src/java21/org/apache/lucene/internal/vectorization/PanamaVectorUtilSupport.java b/lucene/core/src/java21/org/apache/lucene/internal/vectorization/PanamaVectorUtilSupport.java
index 876b037ad3c7..c85f51567ba7 100644
--- a/lucene/core/src/java21/org/apache/lucene/internal/vectorization/PanamaVectorUtilSupport.java
+++ b/lucene/core/src/java21/org/apache/lucene/internal/vectorization/PanamaVectorUtilSupport.java
@@ -702,7 +702,7 @@ private static float cosineBody(ByteVectorLoader a, ByteVectorLoader b) {
     // only vectorize if we'll at least enter the loop a single time, and we have at least 128-bit
     // vectors (256-bit on intel to dodge performance landmines)
     if (a.length() >= 16 && PanamaVectorConstants.HAS_FAST_INTEGER_VECTORS) {
-      final float[] ret;
+      final int[] ret;
       if (VECTOR_BITSIZE >= 512) {
         i += BYTE_SPECIES.loopBound(a.length());
         ret = cosineBody512(a, b, i);
@@ -731,7 +731,7 @@ private static float cosineBody(ByteVectorLoader a, ByteVectorLoader b) {
   }
 
   /** vectorized cosine body (512 bit vectors) */
-  private static float[] cosineBody512(ByteVectorLoader a, ByteVectorLoader b, int limit) {
+  private static int[] cosineBody512(ByteVectorLoader a, ByteVectorLoader b, int limit) {
     IntVector accSum = IntVector.zero(INT_SPECIES);
     IntVector accNorm1 = IntVector.zero(INT_SPECIES);
     IntVector accNorm2 = IntVector.zero(INT_SPECIES);
@@ -755,13 +755,13 @@ private static float[] cosineBody512(ByteVectorLoader a, ByteVectorLoader b, int
       accSum = accSum.add(prod32);
     }
     // reduce
-    return new float[] {
+    return new int[] {
       accSum.reduceLanes(ADD), accNorm1.reduceLanes(ADD), accNorm2.reduceLanes(ADD)
     };
   }
 
   /** vectorized cosine body (256 bit vectors) */
-  private static float[] cosineBody256(ByteVectorLoader a, ByteVectorLoader b, int limit) {
+  private static int[] cosineBody256(ByteVectorLoader a, ByteVectorLoader b, int limit) {
     IntVector accSum = IntVector.zero(IntVector.SPECIES_256);
     IntVector accNorm1 = IntVector.zero(IntVector.SPECIES_256);
     IntVector accNorm2 = IntVector.zero(IntVector.SPECIES_256);
@@ -780,13 +780,13 @@ private static float[] cosineBody256(ByteVectorLoader a, ByteVectorLoader b, int
       accSum = accSum.add(prod32);
     }
     // reduce
-    return new float[] {
+    return new int[] {
       accSum.reduceLanes(ADD), accNorm1.reduceLanes(ADD), accNorm2.reduceLanes(ADD)
     };
   }
 
   /** vectorized cosine body (128 bit vectors) */
-  private static float[] cosineBody128(ByteVectorLoader a, ByteVectorLoader b, int limit) {
+  private static int[] cosineBody128(ByteVectorLoader a, ByteVectorLoader b, int limit) {
     IntVector accSum = IntVector.zero(IntVector.SPECIES_128);
     IntVector accNorm1 = IntVector.zero(IntVector.SPECIES_128);
     IntVector accNorm2 = IntVector.zero(IntVector.SPECIES_128);
@@ -807,7 +807,7 @@ private static float[] cosineBody128(ByteVectorLoader a, ByteVectorLoader b, int
       accSum = accSum.add(prod16.convertShape(S2I, IntVector.SPECIES_128, 0));
     }
     // reduce
-    return new float[] {
+    return new int[] {
       accSum.reduceLanes(ADD), accNorm1.reduceLanes(ADD), accNorm2.reduceLanes(ADD)
     };
   }